TAIS·Just nowPhoto by Tyler Casey on UnsplashBaidu Completes Registration of New Electric Vehicle Venture with Geely. [Caixin]AI Innovation Zones in China: Opportunities for Foreign Investors. [China Briefing]Baidu’s Robin Li calls for further policy support for commercial use of autonomous driving. [cnEVpost]ZTE confirms it has set up an automotive electronics team. … [Read more...] about Tsinghua AI Association of International Students (TAIS) news roundup 4 March
Machine Learning
Machine Learning Goes Quantum: A Glance at an Exciting Paradigm Shift
To begin with, unlabeled data is flooding the data space at an unprecedented rate. Labels are expensive; there is a need to deal with unlabeled data in an effective and efficient way. Quantum computing can offer a significant speedup over traditional classical unsupervised learning algorithms, which has large implications for dealing with this flow of unsupervised … [Read more...] about Machine Learning Goes Quantum: A Glance at an Exciting Paradigm Shift
Ready, Set, AI!🚀
Businesses have a hard time thinking about AI as a core of operations to increase business value rather than a mere source of innovation. The fundamental reason for this setback is the lack of a ‘guide’ to scale AI in your business. If an enterprise is able to reach the proof of concept (POC) stage for any AI model, they don’t have a road map to take that model from POC to … [Read more...] about Ready, Set, AI!🚀
What is Natural language processing (NLP), Natural language understanding and use cases
Natural language processing (NLP) has become one of the most important fields in data science. Natural language processing (NLP) is the general term for natural language understanding (NLU), natural language generation (NLG), and natural language interaction (NLI).Nowadays, natural language technology is increasingly used in enterprises. Many companies have developed numerous … [Read more...] about What is Natural language processing (NLP), Natural language understanding and use cases
forward chaining and backward chaining in artificial intelligence
Forward ChainingBackward ChainingIt is a strategy of an expert system to answer the question, “What can happen next?”Here, the Inference Engine follows the chain of conditions and derivations and finally deduces the outcome. It considers all the facts and rules, and sorts them before concluding to a solution.This strategy is followed for working on conclusion, result, or … [Read more...] about forward chaining and backward chaining in artificial intelligence
Calculating a Company’s Probability of Default with Python
For this analysis, we use several Python-based scientific computing technologies along with the AlphaWave Data Stock Analysis API. Jupyter Notebooks detailing this analysis are also available on Google Colab and Github.import timeimport requestsimport seleniumimport numpy as npimport pandas as pdfrom sympy import *from datetime import datefrom datetime import timedeltafrom … [Read more...] about Calculating a Company’s Probability of Default with Python
Auto-scheduling now available in TVM
Lianmin Zheng (an intern here at OctoML while working on autoscheduling) just pushed out a blog post on the new autoscheduling capabilities that are now upstreamed and available today in TVM.Autoscheduling enables higher performance end to end model optimization from TVM, while also enabling users to write custom operators even easier than before.Make sure and check out the … [Read more...] about Auto-scheduling now available in TVM
(E-MAIL: CASTROFARMS914@GMAIL.COM)Order Ross Chickens
Domestication of the chicken dates back to at least 2000 B.C. and their ancestry can be traced back to four species of wild jungle fowl from Southeast Asia. However, the Red jungle fowl (Gallus gallus or Gallus bankiva) is the most commonly found wild species in the world today and is considered the main ancestor of the domestic chicken. The chicken belongs to the genus Gallus … [Read more...] about (E-MAIL: CASTROFARMS914@GMAIL.COM)Order Ross Chickens
Episode III: Distributed Messaging Systems in Autonomous Vehicles
In the last article, we evaluated Kalman filters as a tool to reduce the flood of sensor data and mollify data disparity to generate an accurate depiction of the autonomous vehicle’s (AV) environment. Likewise, we surveyed perception based machine learning algorithms that drive the decision making processes within an AV. Check out the previous article here!The landscape of the … [Read more...] about Episode III: Distributed Messaging Systems in Autonomous Vehicles
An Attack on Deep Learning
Yes, but hear me out!Credit: PixabayDeep learning has become ubiquitous with data science and an inextricable element of machine learning. It’s shaped how humans interact with machines perhaps more so than any other advance in mathematical modeling to date. With self-driving cars, computers triumphing over masters at their respective table games, and language translation … [Read more...] about An Attack on Deep Learning